Comparison of methods for fitting data using Johnson translation distributions

@article{Storer1988ComparisonOM,
  title={Comparison of methods for fitting data using Johnson translation distributions},
  author={R. H. Storer and J. J. Swain and Sreenivasan Venkatraman and J. Wilson},
  journal={1988 Winter Simulation Conference Proceedings},
  year={1988},
  pages={476-481}
}
The Johnson translation family of distributions provides a variety of distributional shapes for the modelling of empirical data that are readily used in simulation models. We compare a number of methods for estimating the parameters of these distributions, including moment matching (MM), least squares (ordinary- (OLS), weighted- (WLS) and diagonally weighted- (DWLS) least squares), and maximum likelihood (MLE). A sampling study is made to determine the properties of the fitted parameters and… CONTINUE READING

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